class_docstr: Binary cross-entropy loss for classification tasks
  
  Args:
      opts: command-line arguments
code: def extra_repr(self) -> str:
      return f"\n\t reduction={self.reduction}"
  
file_path: ml-cvnets/loss_fn/classification/binary_cross_entropy.py
imports: import argparse
  from torch import Tensor
  from torch.nn import functional
  from loss_fn import LOSS_REGISTRY
  from loss_fn.classification.base_classification_criteria import BaseClassificationCriteria
label_desc: Use image node_id 4 for calling the BinaryCrossEntropy obj's underlying member method code with example usage: obj.extra_repr() and returns: str, self